Xinlu Tang, Rui Guo, Chencheng Zhang, Xiaohua Qian*.
A Causal Counterfactual Graph Neural Network for Arising-from-Chair Abnormality Detection in Parkinsonians. Medical Image Analysis 97: 103266, 2024.
Rui Guo#, Zheng Xie#, Chencheng Zhang, Xiaohua Qian*.
Causality-Enhanced Multiple Instance Learning with Graph Convolutional Networks for Parkinsonian Freezing-of-Gait Assessment. IEEE Transactions on Image Processing, 33, 3991-4001, 2024.
Rui Guo, Linbin Wang, Chencheng Zhang, Lian Gu, Dianyou Li*, Xiaohua Qian*.
A Causality-Informed Graph Convolutional Network for Video Assessment of Parkinsonian Leg Agility. IEEE Transactions on Circuits and Systems for Video Technology, 34(11), 11101-11113, 2024.
Wenli Fu#, Huijun Hu#, Xinyue Li, Rui Guo, Tao Chen, Xiaohua Qian*.
A Generalizable Causal-Invariance-Driven Segmentation Model for Peripancreatic Vessels. IEEE Transactions on Medical Imaging, 43(11), 3794-3806, 2024.
Zheng Xie#, Rui Guo#, Chencheng Zhang, Xiaohua Qian*.
A Clinically Guided Graph Convolutional Network for Assessment of Parkinsonian Pronation-Supination Movements of Hands. IEEE Transactions on Circuits and Systems for Video Technology, 34(5), 3687-3699, 2024.
Xinyue Li#, Rui Guo#, Hongzhang Zhu#, Tao Chen, Xiaohua Qian*.
A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis. IEEE Transactions on Artificial Intelligence, 5(9), 4675-4685, 2024.
Jiaqi Qu#, Xiang Xiao#, Xunbin Wei*, Xiaohua Qian*.
A Causality-Inspired Generalized Model for Automated Pancreatic Cancer Diagnosis. Medical Image Analysis, 94: 103154, 2024.
Xinlu Tang#, Chencheng Zhang#, Rui Guo, Xinling Yang*, Xiaohua Qian*.
A Causality-Aware Graph Convolutional Network Framework for Rigidity Assessment in Parkinsonians. IEEE Transactions on Medical Imaging, 43(1): 229-240, 2024.
2023
Xinlu Tang, Rui Guo, Chencheng Zhang, Xiahai Zhuang*, Xiaohua Qian*.
A Causality-driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians. IEEE Transactions on Medical Imaging, 42(12): 3752-3763, 2023.
Jun Li#, Hongzhang Zhu#, Tao Chen*, Xiaohua Qian*.
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework. IEEE Journal of Biomedical and Health Informatics, 27(10): 4780-4791, 2023.
Xinyue Li#, Rui Guo#, Jing Lu#, Tao Chen, Xiaohua Qian*.
Causality-Driven Graph Neural Network for Early Diagnosis of Pancreatic Cancer in Non-Contrast Computerized Tomography. IEEE Transactions on Medical Imaging, 42(6): 1656-1667, 2023.
Jiaqi Qu, Xunbin Wei*, Xiaohua Qian*.
Generalized Pancreatic Cancer Diagnosis via Multiple Instance Learning and Anatomically-Guided Shape
Normalization. Medical Image Analysis, 86: 102774, 2023.
Xiahan Chen#, Weishen Wang#, Yu
Jiang#, Xiaohua Qian*.
A Dual-transformation with Contrastive Learning Framework for Lymph Node Metastasis Prediction in
Pancreatic Cancer. Medical Image Analysis, 85: 102753, 2023.
Xinlu Tang#, Zhanfeng Mo#, Cheng Chang, Xiaohua Qian*.
Group-shrinkage feature selection with a spatial network for mining DNA methylation data. Computers in Biology and Medicine, 154: 106573, 2023.
Jun Li#, Tao Chen#, Xiaohua Qian*.
Generalizable Pancreas
Segmentation
Modeling in CT Imaging via Meta-learning and Latent-space Feature Flow Generation. IEEE
Journal of Biomedical and Health Informatics, 27(1): 374-385, 2023.
Xiaofan Song#, Jun Li#, Xiaohua
Qian*.
Diagnosis of Glioblastoma
Multiforme
Progression via Interpretable Structure-Constrained Graph Neural Networks. IEEE Transactions on
Medical Imaging, 42(2): 380-390, 2023.
2022
Rui Guo, Jie Sun, Chencheng Zhang, Xiaohua Qian*. A
Contrastive
Graph
Convolutional Network for Toe-Tapping Assessment in Parkinson’s Disease. IEEE
Transactions on
Circuits and Systems for Video Technology, 32(12), 8864-8874, 2022.
Rui Guo, Hao Li, Chencheng Zhang, Xiaohua Qian*. A
Tree-Structure-Guided Graph Convolutional Network with Contrastive Learning for the Assessment of
Parkinsonian Hand Movements. Medical Image Analysis, 81: 102560, 2022.
Rui Guo#, Jie Sun#, Chencheng Zhang, Xiaohua
Qian*. A
Self-Supervised Metric Learning Framework for the Arising-from-Chair Assessment of Parkinsonians
with
Graph Convolutional Networks. IEEE Transactions on Circuits and Systems
for
Video Technology, 32(9):
6461-6471, 2022.
Gaolian Xu, Julien Reboud, Yunfei Guo, Hao Yang, Hongchen Gu,
Chunhai Fan*, Xiaohua Qian*, Jonathan M Cooper*. Programmable design of isothermal nucleic
acid
diagnostic assays through abstraction-based models. Nature
communications,
13(1): 1-9, 2022.
Jun Li#, Liang Qi#, Qingzhong Chen,
Yu-Dong
Zhang, Xiaohua Qian*. A
Dual Meta-Learning Framework based on Idle Data for Enhancing Segmentation of Pancreatic Cancer. Medical
Image Analysis, 78: 102342, 2022.
Jun Li, Chaolu Feng, Qing Shen, Xiaozhu Lin, Xiaohua
Qian*.
Pancreatic cancer segmentation in unregistered multi-parametric MRI with adversarial learning and
multi-scale supervision. Neurocomputing, 467: 310-322, 2022.
Zhengyu Lin#, Rui Guo#, Chencheng Zhang,
Dianyou Li*, Xiaohua Qian*, Bomin Sun*. MDS UPDRS-III item-based rigidity and postural
stability
score estimations: A
data-driven approach. Parkinsonism & related disorders, 94:13-14,
2022.
Xiahan Chen, Zihao Chen, Jun Li, Yu-Dong Zhang, Xiaozhu Lin,
Xiaohua Qian*. Model-driven deep learning method for pancreatic cancer segmentation based on
spiral-transformation. IEEE Transactions on Medical Imaging, 41(1):
75-87,
2022.
Jun Li, Chaolu Feng, Xiaozhu Lin, Xiaohua Qian*.
Utilizing
GCN and
Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation. IEEE
Journal of Biomedical and Health Informatics, 26(1): 79-89, 2022.
Rui Guo, Xiangxin Shao, Chencheng Zhang, Xiaohua Qian*.
Multi-scale
Sparse Graph Convolutional Network for the Assessment of Parkinsonian Gait. IEEE
Transactions on
Multimedia, 24, 2022.
2021
Hao Li, Xiangxin Shao, Chencheng Zhang, Xiaohua Qian*.
Automated
assessment of Parkinsonian finger-tapping tests through a vision-based fine-grained classification
model. Neurocomputing, 441: 260-271, 2021.
Jun Li, Xiaozhu Lin, Hui Che, Hao Li, Xiaohua Qian*.
Pancreas
segmentation with probabilistic map guided bi-directional recurrent UNet. Physics
in Medicine & Biology,
66(11): 115010, 2021.
Xiaofan Song#, Mingyi Mao#, Xiaohua
Qian*. Auto-Metric Graph Neural
Network Based on a Meta-learning Strategy for the Diagnosis of Alzheimer's disease. IEEE Journal of
Biomedical and Health Informatics, 25(8): 3141-3152, 2021.
Xiahan Chen, Xiaozhu Lin, Qing Shen, Xiaohua Qian*. Combined
Spiral
Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53
Mutation in Pancreatic Cancer. IEEE Transactions on Medical Imaging,
40(2): 735-747, 2021.
2021之前
Rui Guo, Xiangxin Shao, Chencheng Zhang, Xiaohua Qian*.
Sparse
Adaptive Graph Convolutional Network for Leg Agility Assessment in Parkinson’s Disease. IEEE
Transactions on Neural Systems and Rehabilitation Engineering, 28(12): 2837-2848, 2020.
Xiaoming Liu, Xiaobo Zhou, Xiaohua Qian*.
Transparency-guided
ensemble convolutional neural network for the stratification between pseudoprogression and true
progression of glioblastoma multiform in MRI. Journal of Visual Communication
and Image Representation,
72: 102880, 2020.
Meiyu Li, Hailiang Tang, Michael D Chan, Xiaobo Zhou, Xiaohua
Qian*. DC‐AL GAN: Pseudoprogression and true tumor progression of glioblastoma multiform image
classification based on DCGAN and AlexNet. Medical Physics, 47(3):
1139-1150, 2020.
Jun Wang, Huan Liu, Xiaohua Qian*, Yizhang Jiang, Zhaohong
Deng,
Shitong Wang*. Cascaded hidden space feature mapping, fuzzy clustering, and nonlinear switching
regression on large datasets. IEEE Transactions on Fuzzy Systems, 26(2):
640-655, 2018.
Changjian Sun, Shuxu Guo, Huimao Zhang, Jing Li, Meimei Chen,
Shuzhi Ma, Lanyi Jin, Xiaoming Liu, Xueyan Li*, Xiaohua Qian*. Automatic segmentation of liver
tumors
from multiphase contrast-enhanced CT images based on FCNs. Artificial
intelligence in medicine, 83:
58-66, 2017.
Xiaohua Qian, Hua Tan, Jian Zhang, Weilin Zhao, Michael D
Chan,
Xiaobo Zhou*. Stratification of pseudoprogression and true progression of glioblastoma multiform based
on longitudinal diffusion tensor imaging without segmentation. Medical
physics, 43(11): 5889-5902, 2016.
Xiaohua Qian, Hua Tan, Jian Zhang, Xiahai Zhuang, Leslie
Branch,
Chaire Sanger, Allison Thompson, Weiling Zhao, King Chuen Li, Lisa David, Xiaobo Zhou*. Objective
classification system for sagittal craniosynostosis based on suture segmentation. Medical physics,
42(9): 5545-5558, 2015.
Xiaohua Qian, Yuan Lin, Yue Zhao, Jing Wang, Jing Liu,
Xiahai
Zhuang*. Segmentation of myocardium from cardiac MR images using a novel dynamic programming based
segmentation method. Medical physics, 42(3): 1424-1435, 2015.
Xiaohua Qian, Jiahui Wang, Shuxu Guo, Qiang Li*. An active
contour
model for medical image segmentation with application to brain CT image. Medical
physics, 40(2): 021911,
2013.